公开(公告)号：US12212813B2

公开(公告)日：2025-01-28

申请号：US17620082

申请日：2020-06-25

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： Leanne Chukoskie ,  Pamela Cosman ,  Pranav Venuprasad ,  Anurag Paul ,  Tushar Dobhal ,  Tu Nguyen ,  Andrew Gilman

IPC: H04N21/442 ,  G06F3/01

Abstract: Systems, devices, and methods are disclosed for characterizing joint attention. A method includes dynamically obtaining video streams of participants; dynamically obtaining gaze streams; dynamically providing a cue to the participants to view the object; dynamically detecting a joint gaze based on the gaze streams focusing on the object over a time interval; and dynamically providing feedback based on detecting the joint gaze.

公开(公告)号：US11024047B2

公开(公告)日：2021-06-01

申请号：US15759106

申请日：2016-09-15

Applicant: The Regents of the University of California

Inventor： Yan-Tsung Peng ,  Pamela Cosman

IPC: G06T7/586 ,  G06T7/571 ,  G06T5/00 ,  G06T7/90 ,  G06T5/20 ,  H04N5/225 ,  H04N5/232

Abstract: The invention provides a method for depth estimation in image or video obtained from a distorting medium. In the method, a pixel blurriness map is calculated. A rough depth map is then determined from the pixel blurriness map while assuming depth in a small local patch is uniform. The rough depth map is then refined. The method can be implemented in imaging systems, such as cameras or imaging processing computers, and the distorting medium can be an underwater medium, haze, fog, low lighting, or a sandstorm, for example. Preferred embodiments determined the blurriness map by calculating a difference between an original image and multi-scale Gaussian-filtered images to estimate the pixel blurriness map.

公开(公告)号：US20220360847A1

公开(公告)日：2022-11-10

申请号：US17620082

申请日：2020-06-25

Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA

Inventor： Leanne Chukoskie ,  Pamela Cosman ,  Pranav Venuprasad ,  Anurag Paul ,  Tushar Dobhal ,  Tu Nguyen ,  Andrew Gilman

IPC: H04N21/442 ,  G06F3/01

Abstract: Systems, devices, and methods are disclosed for characterizing joint attention. A method includes dynamically obtaining video streams of participants; dynamically obtaining gaze streams; dynamically providing a cue to the participants to view the object; dynamically detecting a joint gaze based on the gaze streams focusing on the object over a time interval; and dynamically providing feedback based on detecting the joint gaze.

公开(公告)号：US20180286066A1

公开(公告)日：2018-10-04

申请号：US15759106

申请日：2016-09-15

Applicant: The Regents of the University of California

Inventor： Yan-Tsung Peng ,  Pamela Cosman

IPC: G06T7/586 ,  G06T5/00 ,  G06T5/20 ,  G06T7/90 ,  H04N5/225 ,  H04N5/232

Abstract: The invention provides a method for depth estimation in image or video obtained from a distorting medium. In the method, a pixel blurriness map is calculated. A rough depth map is then determined from the pixel blurriness map while assuming depth in a small local patch is uniform. The rough depth map is then refined. The method can be implemented in imaging systems, such as cameras or imaging processing computers, and the distorting medium can be an underwater medium, haze, fog, low lighting, or a sandstorm, for example. Preferred embodiments determined the blurriness map by calculating a difference between an original image and multi-scale Gaussian-filtered images to estimate the pixel blurriness map.